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A simulation study of disaggregation regression for spatial disease mapping

Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data.

Citation:
Arambepola R, Lucas TCD, Nandi AK, Gething PW, Cameron E. A simulation study of disaggregation regression for spatial disease mapping. Stat Med. 2021.

Keywords:
Bayesian hierarchical modeling; disaggregation; disease mapping; downscaling; geostatistics

Abstract:
Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data.